Evidence map›Paper›PMID 23890064›Full record

ReviewImmunity2013

Deciphering and reversing tumor immune suppression.

Greg T Motz, George Coukos

Open access · greenAbstract readReview
In one paragraph

Review in Immunity, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 337 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
337citing papers in PubMed, 2 pooled it
26.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

337 citing papers in PubMed, 2 syntheses or guidelines pooled it, 590 citations in OpenAlex.

  1. Pooled it
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  9. C-reactive protein-albumin-lymphocyte index predicts biochemical recurrence in prostate cancer.Canadian Urological Association journal = Journal de l'Association des urologues du Canada · 2026
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277 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Greg T MotzOvarian Cancer Research Center, University of Pennsylvania School of Medicine, Philadelphia, PA 19104, USA.
George Coukos
Cancer Research Center · USLudwig Cancer Research · CH

Funding

IMMUNOBIOLOGY OF NORMAL AND NEOPLASTIC LYMPHOCYTEST32CA009140 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Malay Haldar, WARREN S PEAR · 1985 to 2026
$16.1M
Transformative personalized vascular disrupting cancer immunotherapyR01CA156695 · NCI · UNIVERSITY OF PENNSYLVANIA · PI COUKOS, GEORGE · 2010 to 2014
$3.0M
NCI NIH HHS R01 CA156695NCI NIH HHS T32 CA009140
6 · The paper itself

Abstract

Generating an anti-tumor immune response is a multi-step process that is executed by effector T cells that can recognize and kill tumor targets. However, tumors employ multiple strategies to attenuate the effectiveness of T-cell-mediated attack. They achieve this by interfering with nearly every step required for effective immunity, from deregulation of antigen-presenting cells to establishment of a physical barrier at the vasculature that prevents homing of effector tumor-rejecting cells and the suppression of effector lymphocytes through the recruitment and activation of immunosuppressive cells such as myeloid-derived suppressor cells, tolerogenic monocytes, and T regulatory cells. Here, we review the ways in which tumors exert immune suppression and highlight the new therapies that seek to reverse this phenomenon and promote anti-tumor immunity. Understanding anti-tumor immunity, and how it becomes disabled by tumors, will ultimately lead to improved immune therapies and prolonged survival of patients.

Indexed as

Antigen-Presenting CellsHumansLymphocyte ActivationModels, ImmunologicalMyeloid CellsNeoplasmsT-Lymphocytes, CytotoxicT-Lymphocytes, Regulatory

Identifiers

PMID23890064
PMCPMC3782392
OpenAlexW2022996006

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.